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» Combining Gaussian Mixture Models
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APVIS
2010
15 years 4 months ago
Volume exploration using ellipsoidal Gaussian transfer functions
This paper presents an interactive transfer function design tool based on ellipsoidal Gaussian transfer functions (ETFs). Our approach explores volumetric features in the statisti...
Yunhai Wang, Wei Chen, Guihua Shan, Tingxin Dong, ...
110
Voted
CVPR
2007
IEEE
15 years 9 months ago
Fisher Kernels on Visual Vocabularies for Image Categorization
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
Florent Perronnin, Christopher R. Dance
120
Voted
SIGIR
2003
ACM
15 years 8 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
UAI
1998
15 years 4 months ago
Learning Mixtures of DAG Models
We describe computationally efficient methods for learning mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs). We argue that simple...
Bo Thiesson, Christopher Meek, David Maxwell Chick...
118
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TRECVID
2007
15 years 3 months ago
ENST/UOB/LU@TRECVID2007 HIGH LEVEL FEATURE EXTRACTION USING 2-LEVEL PIECEWISE GMM
We describe a high level feature extraction system for video. Video sequences are modeled using Gaussian Mixture Models. We have used those models in the past to segment video seq...
George Yazbek, Georges Kfoury, Gabriel Alam, Chafi...